Currency Forecast Based On AI. The left-hand graph shows the currency predictor forecast from May 21, 2018, which includes long and short recommendations. The green boxes are long signals while the red boxes are short signals. The right-hand side shows the returns of the suggested currency pairs from May 21, 2018 to August 21, 2018. Package Name: Currencies Forecast Length: 3 Months (05/21/2018 – 08/21/2018) I Know First Hit Ratio: 88.89% Algorithmic traders utilize these daily forecasts by the I Know First market prediction system as a tool to enhance portfolio performance, verify their own analysis and act on market opportunities faster.
Package Name: Small Cap Forecast Recommended Positions: Long Forecast Length: 7 Days (7/21/21 – 7/28/21) I Know First Average: 4.28% I Know First's State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Small Cap Forecast Package for the 7 Days time period. The top-performing prediction in this forecast was GTIM, which registered a return of 14.64%. Additional high returns came from AA and GCI, at 9.38% and 6.9% respectively. The package itself saw an overall return of 4.28%, providing investors with a 2.49% premium above the S&P 500's return of 1.79% for the same time period. Algorithmic traders utilize these daily forecasts by the I Know First market prediction system as a tool to enhance portfolio performance, verify their own analysis and act on market opportunities faster.
The mobile AI market was valued at USD 1.66 billion in 2017 and is expected to reach USD 17.83 billion by 2023, at a CAGR of 28.41% during the forecast period. The base year considered for this study is 2017, and the forecast period is between 2018 and 2023. The research methodology used to estimate and forecast the mobile AI market begins with capturing data on key vendor revenues through secondary research. The secondary sources include research papers and journals of Association for the Advancement of Artificial Intelligence (AAAI), European Association for Artificial Intelligence, Canadian Artificial Intelligence Association, Institute of Electrical and Electronics Engineers (IEEE), Data Science Association, International Association for AI and Law (IAAIL), and MarketsandMarkets Analysis. Moreover, product offerings of demand-side vendors were taken into consideration to determine the market segmentation.
Broadcom on Thursday published its third quarter financial results, beating market estimates and anticipating continued momentum into the fourth quarter. The company's non-GAAP diluted earnings per share came to $6.96. Revenue was $6.78 billion for the third quarter, up 16% the prior year period. Analysts were expecting earnings of $6.88 per share on revenue of $6.76 billion. "Broadcom delivered record revenues in the third quarter reflecting our product and technology leadership across multiple secular growth markets in cloud, 5G infrastructure, broadband, and wireless," CEO Hock Tan said in a statement.